Design of Online Pollution Source Monitoring System Based on Internet of Things

Abstract

At present, the automatic water environment monitoring sensors are generally expensive and have a large maintenance workload. The monitoring methods adopted for the environment are still mainly manual monitoring, supplemented by a few automatic monitoring points. The frequency is low, the data representation is poor, and there is no immediate and true reflection of the water environment. It is be found that the environmental problems are very backward, resulting in the science and accuracy of environmental management Refinement is difficult to guarantee, and the cost of later management is very high. The system integrates sewage and flue gas online monitoring devices, sensor networks, data collectors, controllers, etc., obtains data from analytical instruments, and automatically reports the data to the pollution source online monitoring platform of the environmental protection department. Based on the cloud platform architecture, the pollution source online monitoring platform uses the industrial Internet of things to collect emission data, working condition operation data and instrument and equipment operation status data in real time. It also monitors the real-time data of pollution factors of emission enterprises, the status of production and treatment facilities and the status of real-time monitoring instruments. Through big data analysis means and monitoring model, timely find information such as excessive emissions and abnormal treatment facilities, so as the provide data support for environmental protection law enforcement decisions. The public, enterprises, operation and maintenance and law enforcement can all conduct real-time monitoring and management through mobile app. #